ppCan you imagine building a Data Platformb from scratch /b that enables near real-time healthcare analytics? /p pJoin our expert team to work on a bMedTech /b project, contributing to the development of an end-to-end cloud data platform that enables near real-time analytics and business insights. You will apply your knowledge of bDatabricks /b, bAzure Data Factory /b, PySpark and event-driven architectures to design scalable data solutions while participating in technical decisions from the very beginning. /p pAt ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported. /p h3How do we make this happen? /h3 pWith people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months. /p pAnd the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals. /p pAt ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts. /p pAnd if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart. /p h3What You Will Bring /h3 ul liStrong experience building cloud data platforms on Microsoft Azure. /li liHands-on experience with Databricks, Spark/PySpark and SQL. /li liExperience designing event-driven and near real-time data solutions. /li liExperience integrating APIs,



streaming sources or messaging platforms such as Solace. /li liStrong engineering mindset with CI/CD, testing, monitoring, governance and documentation. /li /ul pYou will be responsible for designing and implementing scalable cloud data pipelines using Databricks, Azure Data Factory and PySpark while participating in the architecture definition of a greenfield platform. You will integrate data from APIs and connected devices, develop near real-time analytical solutions, collaborate with multidisciplinary teams and promote engineering best practices focused on scalability, governance and security. /p h3What if the project ends? /h3 pWe work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development. /p h3Our working model /h3 pWe ask you to be available for key meetings. Need to leave for a doctor’s appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek. /p pOur model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other’s faces; the best stories always happen in the office! /p h3You Will Also Enjoy /h3 ul liWe cover your certifications and reward technical achievements up to €1,500. /li liPrivate health insurance. /li liFull coverage for sick leave /li liFree emotional, legal, and family support. /li liGym discounts or sports compensation. /li liFlexible remuneration: meals, transport, childcare, etc. /li liReferral bonuses: up to €6,000 per candidate and €5,000 per client. /li li23 working days of vacation. /li liFree language courses: English, Spanish, Catalan and German. /li /ul h3And the salary? /h3 pWe will discuss it during the first call. If it is important to you, feel free to ask! /p /p #J-18808-Ljbffr

📌 Senior Data Engineer - MedTech Industry (Barcelona)
🏢 Erni
📍 Barcelona